Expected Outcomes
- Unified event model across Flespi and Wialon data streams.
- Cleaner downstream analytics with normalized payloads.
- Reduced duplication in transformation logic.
- Controlled latency for operations and reporting use cases.
Some fleets need both Wialon operational workflows and Flespi-level telemetry flexibility. We design integration architecture that keeps both systems aligned without duplicate logic.
Step 1
We identify which events should be sourced from Wialon, Flespi, or both for each use case.
Step 2
We build a shared schema and mapping rules to standardize mixed-source payloads.
Step 3
We implement queueing, retries, and replay-safe handlers for resilient processing.
Step 4
We track throughput, lag, and processing cost so scale does not erode margins.
It is worth it when standard Wialon events are not enough for your telemetry use cases or data science workflows.
Yes. We support phased migration where critical workflows stay stable while new streams are introduced.
We apply source-of-truth rules and idempotent processing so the same business event is counted once.
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